Neurometric AI Raises $4M, Launches Token Engineering Platform

Neurometric AI launched an automated token engineering platform and raised $4 million in a pre-seed round from investors including Betaworks, ex/ante, and Jason Calacanis. The platform optimizes AI model calls, reducing customer costs from $40,000 per year to $250 per month while improving accuracy from 70% to 96%.

PR Newswire and AlleyWatch report that Neurometric AI launched an automated token engineering platform and raised $4 million in a pre-seed round earlier this spring. AlleyWatch says the round included investors such as Betaworks , ex/ante , Everywhere Ventures , Encoded Ventures , Vermillion , Abstraction , Mu Ventures , and angels including Jason Calacanis and Dharmesh Shah CTO of HubSpot , with CEO and cofounder Rob May quoted on the raise. Per AlleyWatch and Dealroom, the platform evaluates individual model calls inside agentic AI workflows, performs model routing and prompt optimisation, caches outputs, applies confidence-based failover, and can generate specialised small language models when no existing model fits. AlleyWatch reports an early customer cut a workflow from $40,000 per year to $250 per month while improving accuracy from 70% to 96% , and Dealroom notes early engagements show accuracy gains up to 20 points . Dealroom reports Neurometric will use the funding to expand engineering and AI research teams.